Triple
T1442042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Arab Emirates Armed Forces |
E31094
|
entity |
| Predicate | sizeDescription |
P28652
|
FINISHED |
| Object | relatively small but well-equipped |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: relatively small but well-equipped | Statement: [United Arab Emirates Armed Forces, sizeDescription, relatively small but well-equipped]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sizeDescription Context triple: [United Arab Emirates Armed Forces, sizeDescription, relatively small but well-equipped]
-
A.
bodySize
Indicates the relative physical magnitude or scale of an entity’s body, such as how large or small it is.
-
B.
includesSizeRange
Indicates that one entity specifies or covers a particular range of sizes associated with another entity.
-
C.
weightRangeDescription
Indicates the textual description that specifies the range within which an entity’s weight falls.
-
D.
berrySize
Indicates the relative magnitude or dimensions of a berry in terms of its physical size.
-
E.
sizeIncreasedTo
Indicates that an entity’s size has changed and reached a specified larger value or magnitude.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a4991633388190a4d61b5a98aa407a |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c55714588190a95b4f677c21cbaa |
completed | March 1, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69a4c47a840c819083307a65c027a19e |
completed | March 1, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69a4c55508948190922aee3230a4323e |
completed | March 1, 2026, 11:01 p.m. |
Created at: March 1, 2026, 8 p.m.